Machine Learning for Finance by Jannes Klaas

Machine Learning for Finance by Jannes Klaas

Author:Jannes Klaas
Language: eng
Format: epub
Publisher: Packt Publishing


Max sequence length for inputs: 16 Max sequence length for outputs: 59

Now we prepare input and output data for our model. encoder_input_data is a 3D array of shape (num_pairs, max_english_sentence_length, num_english_characters) containing a one-hot vectorization of the English sentences:

encoder_input_data = np.zeros((len(input_texts), max_encoder_seq_length, num_encoder_tokens),dtype='float32')

decoder_input_data is a 3D array of shape (num_pairs, max_french_sentence_length, num_french_characters) containing a one-hot vectorization of the French sentences:

decoder_input_data = np.zeros((len(input_texts), max_decoder_seq_length, num_decoder_tokens),dtype='float32')



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